#CONQUEST AND WEASIS UPDATE#
#CONQUEST AND WEASIS SOFTWARE#
#CONQUEST AND WEASIS TRIAL#

In this article, we will discuss the current architecture of the OHIF Viewer and provide a basic overview of its functionality and how its components have been integrated into various applications over the past few years. Its libraries have been used to build training applications for radiation oncologists, as well as tools for measurement of morphomic markers and an online objective structured clinical examination application for radiology education.

The OHIF framework has been used to build numerous research systems, as well as clinical applications that have obtained US Food and Drug Administration 510(k) clearance and are available for use in clinical practice. Additionally, its components can be reused to rapidly develop new applications and will help enable the transition to cloud storage and computing for cancer research tools. The extensibility of this zero-footprint Web-based platform enables customization and integration with other applications.

The Open Health Imaging Foundation (OHIF) Viewer platform is being developed to fulfill this need. At present, however, there is an unmet need for well-supported, extensible, professional-grade, user-friendly, and interoperable Web viewer technology.

#CONQUEST AND WEASIS SOFTWARE#

In these cases, researchers often turn to open-source options to develop their own plugins or software packages. A common desire is the flexibility and extensibility to integrate custom tools and user interfaces to support bespoke research workflows and purpose-built applications for small subsets of patients. The framework will support the transition to cloud computing and data storage in research environments, which will improve patient data accessibility across sites.ДЄlthough many commercial radiology vendors have begun adopting Web-based imaging applications, they often fall short of the needs of cancer imaging researchers and clinicians.

It has also been used to build custom imaging applications for training and education purposes (eg, eContour, Crowds Cure Cancer).Д¬linicians can use the framework to develop purpose-built applications for small subsets of patients, experiment with new imaging tools, or produce training modules. The viewer has been extended and adopted by multiple clinical research platforms (eg, Precision Imaging Metrics, XNAT, LabCAS, ISB Cancer Genomics Cloud) and commercial groups. To develop a user-friendly Web-based medical image viewer framework that can be adapted to satisfy the needs of cancer researchers and clinicians. Because patient data often exist in silos at individual sites, applications that use cloud storage can simplify data sharing across sites, ease collaboration, and improve patient care. Zero-footprint Web viewers enable display and manipulation of images within a Web browser, with no additional software installed on the userвЂ™s local computer. As more data are relocated to cloud resources, Web-based imaging applications become the most practical approach to interacting with remote data sources. Hospitals and research sponsors are more often turning to cloud computing to facilitate the large-scale data analyses that are now common in research environments. They can provide a secure and cost-effective infrastructure that is both highly available and scalable. 1 Compared with standard desktop workstations and local high-performance clusters, public cloud providers offer pay-as-you-go, on-demand, configurable resources. Additionally, installing, supporting, and troubleshooting desktop applications may be time consuming and require local information technology (IT) desktop support, or in some cases, installation may not be permitted on institutional computers.ДЇurthermore, cloud computing is quickly becoming an attractive computing model for biomedical research.

#CONQUEST AND WEASIS UPDATE#

Locally installed software tools are often limited to specific operating systems and can be challenging to remotely access and update when installed inside hospital environments. Although feature-rich desktop imaging applications address many oncology needs, desktop-installed tools also have significant limitations. However, many applications currently use locally installed desktop software as so-called thick or thin imaging clients.

#CONQUEST AND WEASIS TRIAL#

Oncology imaging informatics encompasses a vast array of workflows, tools, and features that end users have come to rely on to support their research and clinical trial needs.

Conquest and weasis